AI Act compact

The AI Act is here and, contrary to popular opinion, it is not just Europe’s problem. As the first comprehensive law to regulate AI systems, the AI Act attempts to establish a global framework, setting limits on dynamic technological developments and creating new legal responsibilities for companies worldwide.

The Act’s definition of AI systems is equally expansive, covering a wide range of technologies even those that were until yesterday considered traditional machine learning models. This makes understanding and preparing for compliance even more critical, because if your business touches AI, the AI Act is now your business.

"AI Act Compact" is your go-to tool for tackling the challenges imposed by the Act. Written by Tea Mustac and Peter Hense, experienced legal experts and hosts of the podcast “RegInt: Decoding AI Regulation”, this book provides a deep dive into the AI Act’s key provisions, processes and their real-world implications.

The AI Act introduces a new risk-based framework, establishing compliance assessments and relying on testing standards. It imposes obligations of data governance, data quality management, accuracy and robustness, risk management, explainability, non-discrimination, accountability, liability, and many more. The implementation of the mentioned requirements presents significant practical challenges, especially given their broad application to numerous actors along the AI supply chain.

Drawing heavily on international technical standards from ISO, IEC, and IEEE, the authors provide a practical toolkit for managing AI risks and ensuring compliance. Whether you're a lawyer, data scientist or machine learning engineer, this book offers clear, actionable strategies for staying compliant and competitive in this fast-evolving landscape.